Dance movement analysis based on accelerometer data
Call for applications for a post-doctoral contract starting January 2016 (one year with possibility of renewal)
Contact : asaf.bachrach@cnrs.fr

In the framework of the implementation of a human multi-sensor recording platform (EEG, ECG, EMG, behavior…), we aim to develop a dance movement recording and classification tool. Initiated in the frame of the Labodanse project (https://labodanse.org/), the platform will allow for the investigation of dancer/spectator and dancer/dancer interactions at the physiological, psychological and social levels. In order to study the development of these interactions and dance movement, we aim to set up a system, based on accelerometry measurements, to record in real time the dancers’ movements and to extract, among other data, interaction patterns between dancers.

The post-doctoral researcher will work on developing an algorithm, which, based on data taken from inertial measurement units placed on the dancers, will provide quantitative and qualitative analysis of their interactions.

Candidate profile:
Ph.D. in signal processing and/or movement analysis
Interest in the study of dance and human movement
Signal analysis and programming skills are a requirement
A first experience in accelerometry data or human movement analysis is desirable
Lastly, an interest in the study of social interactions, dance, and cognitive and emotional aspects of artistic perception would be a plus.